514 citations
- Université d'Avignon et des Pays de VaucluseFR46 papers
- Centre National de la Recherche ScientifiqueFR15 papers
- Institut national de recherche en sciences et technologies du numériqueFR12 papers
- Nantes UniversitéFR12 papers
- Laboratoire des Sciences du Numérique de NantesFR10 papers
- EURECOMFR8 papers
- Le Mans UniversitéFR7 papers
- Centre Inria d'Université Côte d'AzurFR6 papers
- McGill UniversityCA6 papers
- National Institute of InformaticsJP6 papers
- Polytechnique MontréalCA6 papers
- University of CambridgeGB6 papers
19 papers · 1 filter
Exploring ASR-Based Wav2Vec2 for Automated Speech Disorder Assessment: Insights and Analysis
Tuan Nguyen, Corinne Fredouille, Alain Ghio +2
With the rise of SSL and ASR technologies, the Wav2Vec2 ASR-based model has been fine-tuned for automated speech disorder quality assessment tasks, yielding impressive results and…
Interconnected Kingdoms: Comparing 'A Song of Ice and Fire' Adaptations Across Media Using Complex Networks
Arthur Amalvy, Madeleine Janickyj, Shane Mannion +2
In this article, we propose and apply a method to compare adaptations of the same story across different media. We tackle this task by modelling such adaptations through character…
Annotation Guidelines for Corpus Novelties: Part 1 -- Named Entity Recognition
Arthur Amalvy, Vincent Labatut
The Novelties corpus is a collection of novels (and parts of novels) annotated for Named Entity Recognition (NER) among other tasks. This document describes the guidelines applied…
Uniqueness of hyperbolic Busemann functions in the Newtonian N-body problem
Ezequiel Maderna, Andrea Venturelli
For the N-body problem we prove that any two hyperbolic rays having the same limit shape define the same Busemann function. We localize a region of differentiability for these func…
Whole-Graph Representation Learning For the Classification of Signed Networks
Noé Cecillon, Vincent Labatut, Richard Dufour +1
Graphs are ubiquitous for modeling complex systems involving structured data and relationships. Consequently, graph representation learning, which aims to automatically learn low-d…
An Analysis of Linear Complexity Attention Substitutes with BEST-RQ
Ryan Whetten, Titouan Parcollet, Adel Moumen +2
Self-Supervised Learning (SSL) has proven to be effective in various domains, including speech processing. However, SSL is computationally and memory expensive. This is in part due…